A labelled and analysis-ready version of the low birth weight study data.
It contains 189 observations and is derived from the dataset distributed in
MASS, originally reported by Hosmer and Lemeshow. Numeric clinical codes
have been converted to readable factors; antenatal_visits is an ordered
factor and the original numeric variables are retained.
Format
A data frame with 189 rows and 12 variables:
- low
Birth-weight outcome: Normal birth weight or Low birth weight.
- age
Maternal age in years.
- lwt
Maternal weight in pounds.
- race
Maternal race.
- smoke
Smoking during pregnancy.
- ptl
Number of previous premature labours.
- ht
History of hypertension.
- ui
Uterine irritability.
- ftv
Number of first-trimester physician visits.
- bwt
Birth weight in grams.
- previous_preterm
Any previous premature labour.
- antenatal_visits
Ordered visit category.
Source
Hosmer, D. W. and Lemeshow, S. (1989). Applied Logistic
Regression. Derived from MASS::birthwt.
Examples
describe_data(birthwt)
summary_table(birthwt, by = low, include = c(age, lwt, smoke), overall = TRUE)